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Related Concept Videos

Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

602
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Instrumentation Amplifier01:25

Instrumentation Amplifier

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An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
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Aliasing01:18

Aliasing

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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A 1 V 92 dB SNDR 10 kHz Bandwidth Second-Order Asynchronous Delta-Sigma Modulator for Biomedical Signal Processing.

Vilém Kledrowetz1, Lukáš Fujcik1, Roman Prokop1

  • 1Department of Microelectronics, Brno University of Technology (BUT), Technická 3058/10, 61600 Brno, Czech Republic.

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Summary

A new second-order asynchronous delta-sigma modulator (ADSM) offers high resolution (15-bit) and wide bandwidth for processing bioelectric signals. This low-power, compact design is ideal for biomedical applications.

Keywords:
asynchronous delta-sigma modulator (ADSM)biomedical signalsbiosensorscenter frequencyoperational amplifier

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Area of Science:

  • Electrical Engineering
  • Biomedical Engineering
  • Signal Processing

Background:

  • Traditional delta-sigma modulators often face limitations in power consumption and resolution for bioelectric signal acquisition.
  • Active-RC integrators offer a promising approach to enhance modulator performance.
  • The need for efficient, high-resolution analog-to-digital converters for portable biomedical devices is growing.

Discussion:

  • This work presents a second-order asynchronous delta-sigma modulator (ADSM) utilizing active-RC integrators.
  • The ADSM achieves a 92 dB peak signal-to-noise and distortion ratio (SNDR), equivalent to 15-bit resolution.
  • It operates within the 10 kHz bandwidth required for endogenous bioelectric signals.

Key Insights:

  • The proposed ADSM demonstrates a peak SNDR of 92 dB, signifying 15-bit resolution.
  • Achieved performance metrics include a 10 kHz bandwidth, crucial for bioelectric signal processing.
  • The modulator operates at a low supply voltage of 1 V, consuming only 295 μW.

Outlook:

  • The developed ADSM offers a universal solution for processing endogenous bioelectric signals due to its high resolution, wide bandwidth, and rail-to-rail input range.
  • Future work could explore further miniaturization and integration into wearable biomedical devices.
  • Optimization for ultra-low power consumption will be critical for long-term monitoring applications.